{"id":"W4243949104","doi":"10.5089/9781513524627.002","title":"People's Republic of China-Hong Kong Special Administrative Region","year":2019,"lang":"en","type":"article","venue":"IMF Staff Country Reports","topic":"Employee Welfare and Language Studies","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pace; Social unrest; Unrest; China; Recession; Quarter (Canadian coin); Fell; Inequality; Development economics; Chinese economy; Economics; Business; Demographic economics; Economic growth; Geography; Political science; Macroeconomics; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003098625,0.0007548041,0.0004787748,0.0007173957,0.0008425131,0.001242949,0.0004614308,0.0002693782,0.02663231],"category_scores_gemma":[0.0005049926,0.0002296074,0.0002558329,0.002325417,0.0003858151,0.0005460865,0.0008374717,0.0005390851,0.007939162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157475,"about_ca_system_score_gemma":0.01247563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3120652,"about_ca_topic_score_gemma":0.2487197,"domain_scores_codex":[0.9997458,0.00001966012,0.00002779963,0.00004700886,0.00005333253,0.0001064892],"domain_scores_gemma":[0.9994461,0.00003222055,0.00007310554,0.00005203038,0.0002693762,0.0001271005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005689759,0.0001911306,0.1787595,0.002258341,0.0002738701,0.001583986,0.001398382,0.001002068,0.002165695,0.01021352,0.5584834,0.2431012],"study_design_scores_gemma":[0.00005640784,0.00008512376,0.5379267,0.0003103535,0.00007704973,0.0002884001,0.002252238,0.0006152148,0.0006612344,0.0002912155,0.457391,0.0000449572],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.307417,0.02221998,0.003770037,0.007992453,0.0023376,0.001331155,0.2940451,0.001183451,0.3597032],"genre_scores_gemma":[0.4657828,0.02309252,0.004253139,0.002412578,0.0002123758,0.001233042,0.1256656,0.0001835563,0.3771644],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3120652,"threshold_uncertainty_score":0.6204976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01297460812503626,"score_gpt":0.2392666621228463,"score_spread":0.22629205399781,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}